Governments in developing countries have invested in and digitalized various citizen services to obtain significant economic and societal benefits. However, academic and practice literature documented that the success rate of ICT-led development projects has been less than satisfactory. Therefore, this study aimed to find the priority areas where ICTs-based agricultural projects could be successful and propose measurable indicators to consider while designing and developing such initiatives. This study adopted a qualitative research methodology and interviewed eleven (11) top-ranked professionals from ten (10) organizations involved in carrying out several ICT-based projects in agriculture. Responses were analyzed qualitatively using ‘Thematic Analysis’. The analysis revealed a total of forty codes and nine thematic areas (e.g. creating agricultural knowledge hub, providing extension services, developing farmers’ database, initiating capacity building programs, developing Decision Support Systems (DSS) for different segments, developing farming alert systems, agricultural market information system, ICT-based community building, and formulating ICT strategies for agriculture) and proposed five (5) sets of measuring indicators (e.g. economic, quality of life, community development, service quality, technology acceptance) that would be useful in designing and measuring the success of ICT interventions. The findings of this study might help policymakers and Information Systems (IS) developers to identify priority areas for ICT-led interventions along with its success indicators. This study provides further evidence of the importance of considering economic and non-economic drivers of ICT adoption for development. It conveys important insights concerning the success dimensions of ICT-based agricultural projects certainly critical for resource management and livelihoods improvement.
AckerJCMbitiIM (2010) Mobile phones and economic development in Africa. Journal of Economic Perspectives24(3): 207–232.
2.
AdamsonIShineJ (2003) Extending the new technology acceptance model to measure the end user information systems satisfaction in a mandatory environment: A Bank’s Treasury. Technology Analysis and Strategic Management15(4): 441–455.
3.
AkerJC (2010) Information from markets near and far: Mobile phones and agricultural markets in Niger. American Economic Journal: Applied Economics2(3): 46–59.
4.
Al-GahtaniSSHubonaGSWangJ (2007) Information technology (IT) in Saudi Arabia: culture and the acceptance and use of IT. Information and Management44(8): 681–691.
5.
AlamMMWagnerC (2013) Assessing the impact of digital procurement via Mobile phone on the agribusiness of rural Bangladesh: a decision-analytic approach. Agribusiness and Information Management5(1): 31–41.
6.
AlamMMWagnerC (2016) The relative importance of monetary and non-monetary drivers for information and communication technology acceptance in rural agribusiness. Information Technology for Development. https://doi.org/http://www.tandfonline.com/doi/abs/10.1080/02681102.2016.1155142?journalCode=titd20.
7.
AliyevAG (2018) Methodological aspects of estimation of ICT-based economic development. Management Dynamics in the Knowledge Economy6(2): 227–245.
8.
AvgerouC (2008) Information systems in developing countries: A critical research review. Journal of Information Technology23(3): 133–146.
9.
BadaAOMadonS (2006) Enhancing human resource development through information and communication technology. Information Technology for Development12(3): 179–183.
10.
BaileyJEPearsonSW (1983) Development of a tool for measuring and analyzing computer user satisfaction. Management Science29(5): 530–545.
11.
BayesA (2001) Infrastructural and rural development: Insights from a grameen bank village phone initiative in Bangladesh. Agricultural Economics25(2–3): 261–272.
12.
BojangMBS (2019) Challenges and successes of E-government development in developing countries: A theoretical review of the literature. International Journal of Research and Innovation in Social Science3(4): 410–414.
13.
BraunVClarkeV (2006) Using thematic analysis in psychology. Qualitative Research in Psychology3(2): 77–101.
14.
BrymanA (2012) Social Research Methods, 4th ed.New York: Oxford University Press.
15.
ChowhanSGhoshSR (2020) Role of ICT on agriculture and its future scope in Bangladesh role of ICT on agriculture and its future scope in Bangladesh. Journal of Scientific Research and Reports. 20–35. https://doi.org/10.9734/jsrr/2020/v26i530257.
16.
ChuriAJMloziMRSMahooH, et al. (2013) A decision support system for enhancing crop productivity of smallholder farmers in semi-arid agriculture. International Journal of Information and Communication Technology Research3(8): 238–248.
17.
ColeSA (2012) The value of advice: Evidence from mobile phone-based agricultural extension. Working Paper, Harvard Business School, Harvard University, 13–47.
18.
DeLoneWHMcLeanER (2003) The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems19(4): 9–30.
19.
EversH-D (2008) Knowledge hubs and knowledge clusters: Designing a knowledge architecture for development. ZEF Working Paper Series, 27, 1–21.
20.
EkuaGO (2018) Ghana Community information centers (CiCs) e-governance success or mirage?Journal of E-Governance33(3): 157–167.
21.
FAO (2020) Information and Communication Technology (ICT) in agriculture-a report to the G20 agricultural deputies. 2017. 1–2. ISBN 978-92-5-109979-7. http://www.fao.org/3/a-i7961e.pdf (accessed 22 January 2021).
22.
GallagherCA (1974) Perceptions of the value of a management information system. Academy of Management Journal17: 46–55.
23.
HasanMBIHudaSMahmudM, et al. (2010). Access to Information (A2I). 36.
24.
HassenYASvenssonA (2014) The role of e-commerce for the growth of small enterprise in Ethiopia. Electronic Journal of Information Systems in Developing Countries65(1): 1–20.
25.
HeeksRJagunA (2007) m-Development: current issues and research priorities. Short Paper by Development Informatics, IPDM, University of Manchester. https://doi.org/http://www.sed.manchester.ac.uk/idpm/research/publications/wp/di/index.htm#sp.
26.
HeeksR (2003) Most e-government for development projects fail: how can risks be reduced. UK: Institute for Development Policy and Management, University of Manchester.
27.
HeeksR (2006) Theorizing ICT4D research. Information Technologies and International Development3(3): 1–4.
28.
HeeksR (2018) Information and Communication Technology for Development (ICT4D). London: Taylor and Francis.
29.
HoqueMR (2020) The impact of the ICT4D project on sustainable rural development using a capability approach: evidence from Bangladesh. Technology in Society61(December 2018): 101254.
30.
JiangJJKleinGCarrCL (2002) Measuring information system service quality: SERVQUAL from the other Side. MIS Quarterly26(2): 145–166.
31.
KivunikeFEkenbergLDanielsonM, et al. (2009, May) Investigating Perception of the role of ICT towards the Quality of Life of People in Rural Communities in Uganda. Proceedings of the 10th International Conference on Social Implications of Computers in Developing Countries, Dubai.
32.
KohliRShererSABaronA (2003) Editorial – IT investment payoff in E-business environments: research issues. Information Systems Frontiers5(3): 239–247.
33.
LengCMaWTangJ, et al. (2020) ICT Adoption and income diversification among rural households in China. Applied Economics00(00): 1–15.
34.
MaWNiePZhangP, et al. (2020) Impact of internet use on economic well-being of rural households: Evidence from China. Review of Development Economics24(2): 503–523.
35.
MahlanguGMusungwiniSSibandaM (2018) A framework for creating an ICT knowledge hub in Zimbabwe: A holistic approach in fostering economic growth. Journal of Systems Integration9(1): 32–41.
36.
MelasCDZampetakisLADimopoulouA, et al. (2011) Modeling the acceptance of clinical information systems among hospital medical staff: an extended TAM model. Journal of Biomedical Informatics44(4): 553–564.
37.
MillsBFWhitacreBE (2003) Understanding the non-metropolitan-metropolitan digital divide. Growth and Change34(2): 219–243.
38.
MiwandaAKabaaleEKituyiGM (2014) Using ICTs to disseminate agricultural marketing information to small scale rural farmers in Western Uganda. International Journal of Innovative and Applied Research2(12): 64–73.
39.
NakasoneEToreroMMintenB (2014) The power of information: the ICT revolution in agricultural development. Annual Review of Resource Economics6(1): 533–550.
40.
NathP (2014) ICT for economic and social transformation an empirio - theoretical review of indian initiatives. CSSP Electronic Working Paper Series, 4(0976–2051).
41.
ParthasarathyBSrinivasanJ (2006, October 4–7) Innovation and its Social Impacts: The Role of Ethnography in the Evaluation and Assessment of ICTD Projects. Global Network for Economics of Learning, Innovation, and Competence Building Systems Conference, Trivandrum, India.
42.
PatherSUysC (2010, January 5–8) A Strategy for Evaluating Socio-Economic Outcomes of an ICT4D Programme. 43rd Hawaii International Conference on System Sciences (pp. 1–11). Hawaii.
43.
PatilVCHugarLBPriyaP, et al. (2011) Information and communication technologies for agriculture knowledge management in India. World Applied Sciences Journal14(5): 794–802.
44.
QureshiS (2011) Information technology for development in expanding capabilities. Information Technology for Development17(2): 91–94.
45.
RemenyiDMoneyAHSherwood-SmithM, et al. (2000) The Effective Measurement and Management of IT Costs and Benefits, 2nd Ed.Oxford: Elsevier Butterworth-Heinemann.
46.
RizkRMarxDSchrepferM, et al. (2009, August 6–9) Media coverage of online social network privacy issues in Germany: A thematic analysis. 15th Americas Conference on Information Systems 2009. San Francisco, California.
47.
RorissaADemissieD (2010) An analysis of African eGovernment service websites. Government Information Quarterly27(2): 161–169.
SenA (1999) Development as Freedom. New York: Oxford University Press.
50.
ShawNCDeLoneWHNiedermanF (2002) Sources of dissatisfaction in End-user support: an empirical study. ACM SIGMIS Database33(2): 41–56.
51.
SinghKMKumar ASR (2015) Role of information and communication technologies in Indian agriculture: an overview. SSRN Electronic Journal: 1–10. https://doi.org/10.2139/ssrn.2570710.
52.
SrinivasanA (1985) Alternative measures of system effectiveness: associations and implications. MIS Quarterly9(3): 243–253.
53.
TaylorRZhangB (2007) Measuring the Impact of ICT: Theories of Information and Development. Telecommunications Policy Research Conference, Washington, DC, September 26–28. https://doi.org/http://www.intramis.net/TPRC_files/TPRC%2008%20Taylor-Zhang%20Final.pdf.
54.
ToreroM (2014) Information and communication technologies: farmers, markets, and the power of connectivity. In: MarbleAFritschelH (Eds.) 2013 Global Food Policy Report. Washington, DC: International Food Policy Research Institute (IFPRI), 6, 63–74.
55.
TriceATreacyM (1986) Utilization as a dependent Variable in MIS research. In MaggiLZmudRWetherbeJ (eds). Proceedings of the 7th International Conference on Information Systems (ICIS), San Diego, California, 15–17 December, 227–239.
56.
Van DijkJAGM (2006) Digital divide research, achievements and shortcomings. Poetics34(4–5): 221–235.
57.
ZhengY (2009) Different spaces for e-development: what can we learn from the capability approach?Information Technology for Development15(2): 66–82.
